Drug order delivery management method and device, equipment and storage medium

Abstract

The invention discloses a medicine order delivery management method, which comprises the steps of obtaining medicine order delivery data for obtaining position information and environment information of medicine order delivery; constructing an order delivery safety analysis model, and training the order delivery safety analysis model by using the key features of drug order delivery, the location information of drug order delivery and the environmental information; presetting a drug order delivery safety threshold, inputting to-be-analyzed drug order delivery data to the order delivery safety analysis model, and outputting a drug order delivery safety prediction value; comparing the safety prediction value of drug order delivery with a drug order delivery safety threshold value, and judging the safety level of drug order delivery; and selecting a processing measure corresponding to the medicine order. Through the real-time monitoring and intelligent analysis technology, the abnormal medicine order can be effectively identified and timely processed, and the safety of the medicine in the transportation process and the service quality of distribution are improved.

Description

Technical Field

[0001] The present invention relates to the field of logistics technology, and in particular to a drug order delivery management method, device, equipment and storage medium. Background Art

[0002] Online shopping has become a part of people's daily lives. Especially in the pharmaceutical field, the demand for purchasing medicines through online platforms is growing. However, due to the particularity of medicines, incorrect delivery or damage during delivery may have a serious impact on consumer health. Therefore, how to effectively identify and handle abnormal orders during the delivery process has become one of the urgent issues to be solved in pharmaceutical logistics management.

[0003] In order to effectively identify and promptly process abnormal orders, improve the service quality of drug delivery, and provide consumers with a safe drug shopping experience, it is necessary to invent a drug order delivery management method, device, equipment and storage medium. Summary of the invention

[0004] The main purpose of the present invention is to solve the technical problems in the prior art that abnormal orders cannot be effectively identified and processed in a timely manner, the service quality of drug delivery can be improved, and a safe drug shopping experience can be provided to consumers.

[0005] A first aspect of the present invention provides a drug order delivery management method, the method comprising: Obtain drug order delivery data, which is used to obtain location information and environmental information for drug order delivery; Building an order delivery safety analysis model, and training the order delivery safety analysis model using key features of drug order delivery, location information, and environmental information of drug order delivery; Preset a drug order delivery safety threshold, input the drug order delivery data to be analyzed into the order delivery safety analysis model, and output the safety prediction value of the drug order delivery; Determine the safety level of the order, compare the safety prediction value of the drug order delivery with the drug order delivery safety threshold, and determine the safety level of the drug order delivery; According to the security level of the drug order delivery, select the processing measures corresponding to the drug order.

[0006] Optionally, in a first implementation of the first aspect of the present invention, the obtaining of drug order delivery data is used to obtain location information and environment information of drug order delivery, including: Installing at least one IoT device on the delivery vehicle of the drug order, wherein the IoT device includes at least one of a GPS tracker, a temperature sensor, and a humidity sensor; Collecting the location information of the drug order delivery at a preset time interval, wherein the location information at least includes the real-time geographic location of the delivery vehicle; Collecting environmental information related to the drug order at preset time intervals, the environmental information at least including temperature and humidity conditions during transportation; The IoT device transmits the collected data to a cloud server.

[0007] Optionally, in a second implementation of the first aspect of the present invention, the step of constructing an order delivery safety analysis model and training the order delivery safety analysis model using key features of drug order delivery, location information, and environmental information of drug order delivery includes: Extracting the cargo volume-to-weight ratio feature of the drug order based on the basic information of the drug order; Extracting delivery service level characteristics of the drug order according to the delivery timeliness requirement and delivery service type of the drug order; Confirming the cargo volume-to-weight ratio characteristics and the delivery service level characteristics of the drug order as key characteristics of the drug order; Building a drug order delivery security analysis model, the model configured to receive and process the key features, location information, and environment information; The order delivery safety analysis model is trained using the key features of the drug order delivery, the location information and the environmental information of the drug order delivery.

[0008] Optionally, in a third implementation of the first aspect of the present invention, the preset drug order delivery safety threshold, inputting the drug order delivery data to be analyzed into the order delivery safety analysis model, and outputting the safety prediction value of the drug order delivery include: Preset safety thresholds for drug order delivery, the safety thresholds at least including temperature threshold, humidity threshold, and delivery time threshold; Inputting the drug order delivery data to be analyzed into the trained order delivery safety analysis model; The order delivery safety analysis model calculates and outputs a safety prediction value for drug order delivery based on input delivery data.

[0009] Optionally, in a fourth implementation of the first aspect of the present invention, the determining the order security level, comparing the security prediction value of the drug order delivery with the drug order delivery security threshold, and determining the security level of the drug order delivery includes: Presetting the security level for delivery of the drug order; Compare the safety prediction value of the drug order delivery with the safety threshold of the drug order delivery to determine the safety level of the drug order; If the safety prediction value of the drug order delivery is greater than the safety threshold of the drug order delivery, the safety level of the drug order is judged to be dangerous; If the safety prediction value of the drug order delivery is less than or equal to the safety threshold of the drug order delivery, the safety level of the drug order is determined to be safe.

[0010] Optionally, in a fifth implementation of the first aspect of the present invention, selecting a processing measure corresponding to the drug order according to the security level of the drug order delivery includes: Pre-set measures for handling drug orders; Determining a security level for delivery of the drug order; According to the security level of the drug order, a processing measure corresponding to the drug order is selected from preset processing measures.

[0011] Optionally, in a sixth implementation of the first aspect of the present invention, the processing measures for the drug order include at least one of the following types or a combination thereof: Re-plan delivery routes and automatically find alternative routes when there is traffic congestion or other obstacles on the delivery route to ensure that drug orders arrive on time; Notify the delivery personnel and provide guidance and suggestions; Cancel the order by directly canceling the order and contacting the user through the customer service platform to explain the reason; Communicate with users to ensure that they can obtain relevant delivery information.

[0012] A second aspect of the present invention provides a drug order delivery management device, comprising: A module for obtaining drug order delivery data is used to obtain location information and environmental information of drug order delivery; Construct an order delivery safety analysis model module to train the order delivery safety analysis model using key features of drug order delivery, location information, and environmental information of drug order delivery; An output module, used to preset a drug order delivery safety threshold, input the drug order delivery data to be analyzed into the order delivery safety analysis model, and output a safety prediction value for drug order delivery; An order security level determination module, used to compare the security prediction value of the drug order delivery with the drug order delivery security threshold value to determine the security level of the drug order delivery; The processing measure selection module is used to select the processing measure corresponding to the drug order according to the security level of the drug order delivery.

[0013] A third aspect of the present invention provides a computer device, the computer device comprising a memory and at least one processor, the memory storing instructions; The at least one processor calls the instructions in the memory to enable the computer device to execute the drug order delivery management method as described above.

[0014] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program is loaded by a processor to execute the drug order delivery management method as described above.

[0015] The drug order delivery management method of the present invention can effectively identify and promptly process abnormal drug orders through real-time monitoring and intelligent analysis technology, significantly improving the safety of drugs during transportation, improving the service quality of drug distribution, and providing consumers with a safe drug shopping experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flowchart of a drug order delivery management method provided by an embodiment of the present invention; Figure 2 A flowchart of obtaining drug order delivery data in the drug order delivery management method provided in an embodiment of the present invention; Figure 3 A flow chart of constructing an order delivery safety analysis model in the drug order delivery management method provided in an embodiment of the present invention; Figure 4 A flow chart of outputting a safety prediction value in a drug order delivery management method provided in an embodiment of the present invention; Figure 5 A flow chart of determining the delivery safety level in the drug order delivery management method provided in an embodiment of the present invention; Figure 6 A flowchart of selecting processing measures in the drug order delivery management method provided in an embodiment of the present invention; Figure 7 A schematic diagram of the structure of a drug order delivery management device provided by an embodiment of the present invention; Figure 8 Another structural schematic diagram of the drug order delivery management device provided by an embodiment of the present invention; Fig. 9 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The present invention provides a drug order delivery management method, the method comprising: obtaining drug order delivery data for obtaining location information and environmental information of drug order delivery; constructing an order delivery safety analysis model, and training the order delivery safety analysis model using key features of drug order delivery, location information and environmental information of drug order delivery; presetting a drug order delivery safety threshold, inputting drug order delivery data to be analyzed into the order delivery safety analysis model, and outputting a safety prediction value of the drug order delivery; judging an order safety level, comparing the safety prediction value of the drug order delivery with the drug order delivery safety threshold, and judging the safety level of the drug order delivery; and selecting processing measures corresponding to the drug order according to the safety level of the drug order delivery.

[0018] The drug order delivery management method of the present invention can effectively identify and promptly process abnormal drug orders through real-time monitoring and intelligent analysis technology, significantly improving the safety of drugs during transportation, improving the service quality of drug distribution, and providing consumers with a safe drug shopping experience.

[0019] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" or "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0020] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 The embodiment of the present invention provides a drug order delivery management method, the method comprising: 101. Obtaining drug order delivery data, which is used to obtain location information and environmental information for drug order delivery; 102. Construct an order delivery safety analysis model, and train the order delivery safety analysis model using key features of drug order delivery, location information, and environmental information of drug order delivery; 103. Preset a drug order delivery safety threshold, input the drug order delivery data to be analyzed into the order delivery safety analysis model, and output a safety prediction value of the drug order delivery; 104. Determine the safety level of the order, compare the safety prediction value of the drug order delivery with the drug order delivery safety threshold, and determine the safety level of the drug order delivery; 105. According to the security level of the drug order delivery, select a processing measure corresponding to the drug order.

[0021] The drug order delivery management method of the present invention can effectively identify and promptly process abnormal drug orders through real-time monitoring and intelligent analysis technology, significantly improving the safety of drugs during transportation, improving the service quality of drug distribution, and providing consumers with a safe drug shopping experience.

[0022] See also Figure 2 In the second embodiment of the drug order delivery management method in the embodiment of the present invention, based on the above embodiment, the acquisition of drug order delivery data is used to obtain location information and environmental information of drug order delivery, including: 201. Install at least one Internet of Things device on the delivery vehicle of the medicine order, wherein the Internet of Things device includes at least one of a GPS tracker, a temperature sensor, and a humidity sensor; In some embodiments, the temperature sensor device can continuously monitor key environmental conditions and immediately trigger an alarm once they exceed a set safety range, thereby effectively preventing drugs from deteriorating or becoming ineffective.

[0023] 202. Collecting the location information of the drug order delivery at a preset time interval, wherein the location information at least includes the real-time geographic location of the delivery vehicle; 203. Collecting environmental information related to the drug order at preset time intervals, wherein the environmental information at least includes temperature and humidity conditions during transportation; In some embodiments, the time interval is no more than a few minutes or even once per second to ensure the real-time and accuracy of the information.

[0024] 204. The IoT device transmits the collected data to a cloud server.

[0025] The embodiments of the present invention can ensure that any problems that may affect the quality of drugs can be discovered and handled in a timely manner through high-frequency data collection and instant transmission; based on real-time location information, the delivery route can be dynamically adjusted to avoid traffic jams and other obstacles, thereby improving delivery speed and punctuality.

[0026] See also Figure 3 In a third embodiment of the drug order delivery management method in an embodiment of the present invention, the order delivery safety analysis model is constructed, and the order delivery safety analysis model is trained using key features of drug order delivery, location information and environmental information of drug order delivery, including: 301. Extracting a cargo volume-to-weight ratio feature of the drug order based on the basic information of the drug order; In some embodiments, the cargo volume-to-weight ratio feature helps to more accurately evaluate packaging rationality and transportation costs, thereby achieving optimal allocation of resources.

[0027] 302. Extracting a delivery service level feature of the drug order according to the delivery timeliness requirement and the delivery service type of the drug order; In some embodiments, the delivery service level characteristics define the standards for different service levels (such as priority and timeliness), so that logistics service providers can provide customized services based on customer needs and improve customer satisfaction.

[0028] 303. Confirming the cargo volume-to-weight ratio feature and the delivery service level feature of the medicine order as key features of the medicine order; In some embodiments, by analyzing key features, potential risk factors can be better identified, response strategies can be formulated in advance, and losses caused by unexpected situations can be reduced.

[0029] 304. Construct a drug order delivery security analysis model, wherein the model is configured to receive and process the key features, location information, and environment information; 305. Use the key features of the drug order delivery, the location information and the environmental information of the drug order delivery to train the order delivery safety analysis model.

[0030] In some embodiments, by learning from large amounts of data, the model can better identify potential risk factors and provide early warning of issues that may affect drug quality, such as temperature fluctuations, excessive humidity, etc., so that timely and effective measures can be taken.

[0031] The embodiments of the present invention combine various types of input data (such as key features, location information, and environmental information) to more comprehensively reflect the actual situation of drugs during transportation, thereby improving the accuracy of model predictions, helping to more accurately assess transportation risks, and ensuring that drug quality is not compromised.

[0032] See also Figure 4 , the fourth embodiment of the drug order delivery management method in the embodiment of the present invention, the preset drug order delivery safety threshold, inputting the drug order delivery data to be analyzed into the order delivery safety analysis model, and outputting the safety prediction value of the drug order delivery, including: 401. Preset safety thresholds for drug order delivery, where the safety thresholds include at least a temperature threshold, a humidity threshold, and a delivery time threshold; In some embodiments, pre-setting clear safety thresholds can ensure that the drugs are always in a suitable environment during the entire transportation process, avoiding drug deterioration or failure due to excessive temperature, humidity and other conditions.

[0033] 402. Inputting the drug order delivery data to be analyzed into the trained order delivery safety analysis model; 403. The order delivery safety analysis model calculates and outputs a safety prediction value for drug order delivery based on the input delivery data.

[0034] The delivery time threshold of the embodiment of the present invention helps to ensure that the drugs arrive at the destination on time and prevent shortening of drug validity or other quality problems caused by delays. At the same time, customer satisfaction is also improved; by monitoring the safety threshold, losses caused by unexpected situations are reduced. In particular, strict control of temperature and humidity is crucial in cold chain transportation.

[0035] See also Figure 5 In a fifth embodiment of the drug order delivery management method in an embodiment of the present invention, the determining of the order security level, comparing the security prediction value of the drug order delivery with the drug order delivery security threshold, and determining the security level of the drug order delivery, includes: 501. Preset the security level for delivery of the drug order; 502. Compare the safety prediction value of the drug order delivery with the safety threshold of the drug order delivery to determine the safety level of the drug order; 503. If the safety prediction value of the drug order delivery is greater than the safety threshold of the drug order delivery, it is determined that the safety level of the drug order is dangerous; If the safety prediction value of the drug order delivery is less than or equal to the safety threshold of the drug order delivery, the safety level of the drug order is determined to be safe.

[0036] The clear division of security levels in the embodiment of the present invention helps logistics service providers adjust resource allocation according to actual conditions, such as giving priority to high-risk orders or strengthening monitoring measures, thereby improving overall distribution efficiency and service quality; it not only improves the safety and reliability of drug transportation, but also enhances the overall level of logistics services, providing strong technical support for the drug supply chain.

[0037] See also Figure 6 In the sixth embodiment of the drug order delivery management method in the embodiment of the present invention, the selecting of the processing measures corresponding to the drug order according to the security level of the drug order delivery includes: 601. Measures for handling preset drug orders; 602. Determine the security level of the drug order delivery; In some embodiments, by comparing the safety prediction value of drug order delivery with a preset safety threshold to determine the safety level of the drug order, the risk management and decision support capabilities in the drug transportation process can be significantly improved.

[0038] 603. According to the security level of the drug order, select a processing measure corresponding to the drug order from preset processing measures.

[0039] In combination with the judgment of the security level in the embodiments of the present invention, the logistics service provider can adjust the delivery strategy according to the actual situation, such as re-planning the route, adjusting the cold chain settings or giving priority to high-risk orders, thereby improving the overall delivery efficiency and service quality.

[0040] The above describes the drug order delivery management method in the embodiment of the present invention. The following describes the drug order delivery management device in the embodiment of the present invention. Figure 7 In one embodiment of the present invention, a device for managing drug order delivery includes: The module 701 for obtaining drug order delivery data is used to obtain location information and environment information for drug order delivery; Building an order delivery safety analysis model module 702, for training an order delivery safety analysis model using key features of drug order delivery, location information and environmental information of drug order delivery; A preset medicine order delivery safety threshold module 703 is used to input the medicine order delivery data to be analyzed into the order delivery safety analysis model and output the safety prediction value of the medicine order delivery; An order security level determination module 704 is used to compare the security prediction value of the drug order delivery with the drug order delivery security threshold to determine the security level of the drug order delivery; The processing measure selection module 705 is used to select a processing measure corresponding to the drug order according to the security level of the drug order delivery.

[0041] The drug order delivery management device of the present invention can effectively identify and promptly process abnormal drug orders through real-time monitoring and intelligent analysis technology, significantly improving the safety of drugs during transportation, improving the service quality of drug distribution, and providing consumers with a safe drug shopping experience.

[0042] See also Figure 8 , another embodiment of the drug order delivery management device in the embodiment of the present invention includes: a drug order delivery data acquisition module 701, which is used to acquire location information and environmental information of drug order delivery; In some embodiments, the module 701 for obtaining drug order delivery data includes: The Internet of Things device unit 7011 is used to install at least one Internet of Things device on the delivery vehicle of the medicine order, and the Internet of Things device includes at least one of a GPS tracker, a temperature sensor, and a humidity sensor; In some embodiments, the temperature sensor device can continuously monitor key environmental conditions and immediately trigger an alarm once they exceed a set safety range, thereby effectively preventing drugs from deteriorating or becoming ineffective.

[0043] The first collection unit 7012 is used to collect the location information of the drug order delivery at a preset time interval, and the location information at least includes the real-time geographic location of the delivery vehicle; The second collection unit 7013 is used to collect environmental information related to the drug order at a preset time interval, and the environmental information at least includes temperature and humidity conditions during transportation; In some embodiments, the time interval is no more than a few minutes or even once per second to ensure the real-time and accuracy of the information.

[0044] The transmission unit 7014 is used for the IoT device to transmit the collected data to the cloud server.

[0045] The embodiments of the present invention can ensure that any problems that may affect the quality of drugs can be discovered and handled in a timely manner through high-frequency data collection and instant transmission; based on real-time location information, the delivery route can be dynamically adjusted to avoid traffic jams and other obstacles, thereby improving delivery speed and punctuality.

[0046] Building an order delivery safety analysis model module 702, for training an order delivery safety analysis model using key features of drug order delivery, location information and environmental information of drug order delivery; In some embodiments, the order delivery safety analysis model building module 702 includes: The extraction unit 7021 is used to extract the cargo volume-to-weight ratio feature of the drug order according to the basic information of the drug order; In some embodiments, the cargo volume-to-weight ratio feature helps to more accurately evaluate packaging rationality and transportation costs, thereby achieving optimal allocation of resources.

[0047] Extracting delivery service level characteristics of the drug order according to the delivery timeliness requirement and delivery service type of the drug order; In some embodiments, the delivery service level characteristics define the standards for different service levels (such as priority and timeliness), so that logistics service providers can provide customized services based on customer needs and improve customer satisfaction.

[0048] Confirming the cargo volume-to-weight ratio characteristics and the delivery service level characteristics of the drug order as key characteristics of the drug order; In some embodiments, by analyzing key features, potential risk factors can be better identified, response strategies can be formulated in advance, and losses caused by unexpected situations can be reduced.

[0049] A construction unit 7022, for constructing a drug order delivery safety analysis model, wherein the model is configured to receive and process the key features, location information, and environment information; The training unit 7023 is used to train the order delivery safety analysis model using the key features of the drug order delivery, the location information and the environmental information of the drug order delivery.

[0050] In some embodiments, by learning from large amounts of data, the model can better identify potential risk factors and provide early warning of issues that may affect drug quality, such as temperature fluctuations, excessive humidity, etc., so that timely and effective measures can be taken.

[0051] The embodiments of the present invention combine various types of input data (such as key features, location information, and environmental information) to more comprehensively reflect the actual situation of drugs during transportation, thereby improving the accuracy of model predictions, helping to more accurately assess transportation risks, and ensuring that drug quality is not compromised.

[0052] The output module 703 is used to preset a safety threshold for drug order delivery, input the drug order delivery data to be analyzed into the order delivery safety analysis model, and output a safety prediction value for the drug order delivery; In some embodiments, the output module 703 includes: The first preset unit 7031 is used to preset safety thresholds related to drug order delivery, wherein the safety thresholds at least include a temperature threshold, a humidity threshold, and a delivery time threshold; In some embodiments, pre-setting clear safety thresholds can ensure that the drugs are always in a suitable environment during the entire transportation process, avoiding drug deterioration or failure due to excessive temperature, humidity and other conditions.

[0053] An input unit 7032, used to input the drug order delivery data to be analyzed into the trained order delivery safety analysis model; Output unit 7033, the order delivery safety analysis model calculates and outputs a safety prediction value for drug order delivery based on the input delivery data.

[0054] The delivery time threshold of the embodiment of the present invention helps to ensure that the drugs arrive at the destination on time and prevent shortening of drug validity or other quality problems caused by delays. At the same time, customer satisfaction is also improved; by monitoring the safety threshold, losses caused by unexpected situations are reduced. In particular, strict control of temperature and humidity is crucial in cold chain transportation.

[0055] An order security level determination module 704 is used to compare the security prediction value of the drug order delivery with the drug order delivery security threshold to determine the security level of the drug order delivery; In some embodiments, the order security level determination module 704 includes: The second preset unit 7041 is used to preset the security level of the drug order delivery; A comparison and judgment unit 7042 is used to compare the safety prediction value of the drug order delivery with the safety threshold of the drug order delivery to determine the safety level of the drug order; 503. If the safety prediction value of the drug order delivery is greater than the safety threshold of the drug order delivery, it is determined that the safety level of the drug order is dangerous; If the safety prediction value of the drug order delivery is less than or equal to the safety threshold of the drug order delivery, the safety level of the drug order is determined to be safe.

[0056] The clear division of security levels in the embodiment of the present invention helps logistics service providers adjust resource allocation according to actual conditions, such as giving priority to high-risk orders or strengthening monitoring measures, thereby improving overall distribution efficiency and service quality; it not only improves the safety and reliability of drug transportation, but also enhances the overall level of logistics services, providing strong technical support for the drug supply chain.

[0057] The processing measure selection module 705 is used to select a processing measure corresponding to the drug order according to the security level of the drug order delivery.

[0058] In some embodiments, the selecting treatment measure module 705 includes: The third preset unit 7051 is used to preset the processing measures of the drug order; A determination unit 7052, configured to determine a security level for the drug order delivery; In some embodiments, by comparing the safety prediction value of drug order delivery with a preset safety threshold to determine the safety level of the drug order, the risk management and decision support capabilities in the drug transportation process can be significantly improved.

[0059] The selection unit 7053 is used to select a processing measure corresponding to the drug order from preset processing measures according to the security level of the drug order.

[0060] The processing measures for the drug order include at least one of the following types or a combination: Re-plan delivery routes and automatically find alternative routes when there is traffic congestion or other obstacles on the delivery route to ensure that drug orders arrive on time; Notify the delivery personnel and provide guidance and suggestions; Cancel the order by directly canceling the order and contacting the user through the customer service platform to explain the reason; Communicate with users to ensure that they can obtain relevant delivery information.

[0061] In combination with the judgment of the security level in the embodiments of the present invention, the logistics service provider can adjust the delivery strategy according to the actual situation, such as re-planning the route, adjusting the cold chain settings or giving priority to high-risk orders, thereby improving the overall delivery efficiency and service quality.

[0062] above Figure 7 and Figure 8 The drug order delivery management method in the embodiment of the present invention is described in detail from the perspective of modular functional entities, and the electronic device in the embodiment of the present invention is described in detail from the perspective of hardware processing.

[0063] Fig. 9 8 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. The electronic device 800 may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 810 (for example, one or more processors) and a memory 820, and one or more storage media 830 (for example, one or more mass storage devices) storing application programs 833 or data 832. Among them, the memory 820 and the storage medium 830 can be temporary storage or permanent storage. The program stored in the storage medium 830 may include one or more modules (not shown in the figure) for vehicle dispatching at a distribution center, and each module may include a series of instruction operations in the electronic device 800. Furthermore, the processor 810 may be configured to communicate with the storage medium 830 to execute a series of instruction operations in the storage medium 830 on the electronic device 800.

[0064] The electronic device 800 may also include one or more power supplies 840, one or more wired or wireless network interfaces 850, one or more input and output interfaces 850, and / or one or more operating systems 831, such as Windows Serve, Mac OS X, Unix, Linux, FreeBSD, etc. It will be appreciated by those skilled in the art that Fig. 9The structure of the electronic device shown does not constitute a limitation on the electronic device, and may include more or less components than shown in the figure, or combine some components, or arrange the components differently.

[0065] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instructions are executed on a computer, the computer executes the steps of the distribution center vehicle dispatching method.

[0066] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described system, device, or unit can refer to the corresponding process in the aforementioned method embodiment and will not be repeated here.

[0067] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the whole or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0068] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A drug order delivery management method, characterized in that: The method comprises: Obtain drug order delivery data, which is used to obtain location information and environmental information for drug order delivery; Building an order delivery safety analysis model, and training the order delivery safety analysis model using key features of drug order delivery, location information, and environmental information of drug order delivery; Preset a drug order delivery safety threshold, input the drug order delivery data to be analyzed into the order delivery safety analysis model, and output the safety prediction value of the drug order delivery; Determine the safety level of the order, compare the safety prediction value of the drug order delivery with the drug order delivery safety threshold, and determine the safety level of the drug order delivery; According to the security level of the drug order delivery, select the processing measures corresponding to the drug order.

2. The drug order delivery management method according to claim 1, characterized in that: The obtaining of drug order delivery data is used to obtain location information and environment information of drug order delivery, including: Installing at least one IoT device on the delivery vehicle of the drug order, wherein the IoT device includes at least one of a GPS tracker, a temperature sensor, and a humidity sensor; Collecting the location information of the drug order delivery at a preset time interval, wherein the location information at least includes the real-time geographic location of the delivery vehicle; Collecting environmental information related to the drug order at preset time intervals, the environmental information at least including temperature and humidity conditions during transportation; The IoT device transmits the collected data to a cloud server.

3. The drug order delivery management method according to claim 2, characterized in that: The constructing of the order delivery safety analysis model, using key features of drug order delivery, location information and environment information of drug order delivery to train the order delivery safety analysis model, includes: Extracting the cargo volume-to-weight ratio feature of the drug order based on the basic information of the drug order; Extracting delivery service level characteristics of the drug order according to the delivery timeliness requirement and delivery service type of the drug order; Confirming the cargo volume-to-weight ratio characteristics and the delivery service level characteristics of the drug order as key characteristics of the drug order; Building a drug order delivery security analysis model, the model configured to receive and process the key features, location information, and environmental information; The order delivery safety analysis model is trained using the key features of the drug order delivery, the location information and the environmental information of the drug order delivery.

4. The drug order delivery management method according to claim 3, characterized in that: The preset drug order delivery safety threshold, inputting the drug order delivery data to be analyzed into the order delivery safety analysis model, and outputting the safety prediction value of the drug order delivery, includes: Preset safety thresholds for drug order delivery, the safety thresholds at least including temperature threshold, humidity threshold, and delivery time threshold; Inputting the drug order delivery data to be analyzed into the trained order delivery safety analysis model; The order delivery safety analysis model calculates and outputs a safety prediction value for drug order delivery based on input delivery data.

5. The drug order delivery management method according to claim 4, characterized in that: The determining of the safety level of the order, comparing the safety prediction value of the drug order delivery with the drug order delivery safety threshold, and determining the safety level of the drug order delivery, includes: Presetting the security level for delivery of the drug order; Compare the safety prediction value of the drug order delivery with the safety threshold of the drug order delivery to determine the safety level of the drug order; If the safety prediction value of the drug order delivery is greater than the safety threshold of the drug order delivery, the safety level of the drug order is judged to be dangerous; If the safety prediction value of the drug order delivery is less than or equal to the safety threshold of the drug order delivery, the safety level of the drug order is determined to be safe.

6. The drug order delivery management method according to claim 3, characterized in that: The selecting of a processing measure corresponding to the drug order according to the security level of the drug order delivery includes: Pre-set measures for handling drug orders; Determining a security level for delivery of the drug order; According to the security level of the drug order, a processing measure corresponding to the drug order is selected from preset processing measures.

7. The drug order delivery management method according to claim 6, characterized in that: The processing measures for the drug order include at least one of the following types or a combination: Re-plan delivery routes and automatically find alternative routes when there is traffic congestion or other obstacles on the delivery route to ensure that drug orders arrive on time; Notify the delivery personnel and provide guidance and suggestions; Cancel the order by directly canceling the order and contacting the user through the customer service platform to explain the reason; Communicate with users to ensure that they can obtain relevant delivery information.

8. A drug order delivery management device, characterized in that: include: A module for obtaining drug order delivery data is used to obtain location information and environmental information of drug order delivery; Construct an order delivery safety analysis model module to train the order delivery safety analysis model using key features of drug order delivery, location information, and environmental information of drug order delivery; An output module, used to preset a drug order delivery safety threshold, input the drug order delivery data to be analyzed into the order delivery safety analysis model, and output a safety prediction value for drug order delivery; An order security level determination module, used to compare the security prediction value of the drug order delivery with the drug order delivery security threshold value to determine the security level of the drug order delivery; The processing measure selection module is used to select the processing measure corresponding to the drug order according to the security level of the drug order delivery.

9. A computer device, characterized in that: The computer device includes a memory and at least one processor, wherein instructions are stored in the memory; The at least one processor calls the instructions in the memory to enable the computer device to execute the medicine order delivery management method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and the computer program is loaded by a processor to execute the drug order delivery management method described in any one of claims 1-7.

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